Long short-term memory and fuzzy logic for anomaly detection and mitigation in software-defined network environment
Computer networks become complex and dynamic structures. As a result of this fact, the
configuration and the managing of this whole structure is a challenging activity. Software …
configuration and the managing of this whole structure is a challenging activity. Software …
A GRU deep learning system against attacks in software defined networks
The management of modern network environments is becoming more and more complex
due to new requirements of devices' heterogeneity regarding the popularization of the …
due to new requirements of devices' heterogeneity regarding the popularization of the …
A flow-based anomaly detection approach with feature selection method against ddos attacks in sdns
MS El Sayed, NA Le-Khac, MA Azer… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Software Defined Networking (SDN) is an emerging network platform, which facilitates
centralised network management. The SDN enables the network operators to manage the …
centralised network management. The SDN enables the network operators to manage the …
Deep learning-based slow DDoS attack detection in SDN-based networks
B Nugraha, RN Murthy - 2020 IEEE Conference on Network …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is a promising networking paradigm that provides
outstanding manageability, scalability, controllability, and flexibility. Despite having such …
outstanding manageability, scalability, controllability, and flexibility. Despite having such …
Ddosnet: A deep-learning model for detecting network attacks
MS Elsayed, NA Le-Khac, S Dev… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent
years to address the weaknesses in traditional networks. The significant feature of the SDN …
years to address the weaknesses in traditional networks. The significant feature of the SDN …
[HTML][HTML] Detecting flooding DDoS attacks in software defined networks using supervised learning techniques
For the easy and flexible management of large scale networks, Software-Defined
Networking (SDN) is a strong candidate technology that offers centralisation and …
Networking (SDN) is a strong candidate technology that offers centralisation and …
Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions
IA Valdovinos, JA Pérez-Díaz, KKR Choo… - Journal of Network and …, 2021 - Elsevier
Software-defined networking (SDN) is a network paradigm that decouples control and data
planes from network devices and places them into separate entities. In SDN, the controller is …
planes from network devices and places them into separate entities. In SDN, the controller is …
A survey and classification of the security anomaly detection mechanisms in software defined networks
Software defined network (SDN) decouples the network control and data planes. Despite
various advantages of SDNs, they are vulnerable to various security attacks such anomalies …
various advantages of SDNs, they are vulnerable to various security attacks such anomalies …
An investigation into the application of deep learning in the detection and mitigation of DDOS attack on SDN controllers
JD Gadze, AA Bamfo-Asante, JO Agyemang… - Technologies, 2021 - mdpi.com
Software-Defined Networking (SDN) is a new paradigm that revolutionizes the idea of a
software-driven network through the separation of control and data planes. It addresses the …
software-driven network through the separation of control and data planes. It addresses the …
An ecosystem for anomaly detection and mitigation in software-defined networking
Along with the rapid growth of computer networks comes the need for automating
management functions to prevent errors in decision-making and reduce the cost of ordinary …
management functions to prevent errors in decision-making and reduce the cost of ordinary …